Minimum qualifications:
Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R.
7 years of experience developing and managing metrics or evaluating programs/products.
5 years of experience as a people manager within a technical leadership role.
Preferred qualifications:
Advanced degree in a quantitative field such as Statistics, Computer Science, Engineering, Mathematics, Economics, or Physics.
10 years of experience with statistical data analysis (e.g., data mining and data querying), modeling, experimentation, and managing analytical projects.
Experience solving unstructured business problems with data science, translating results into impactful business recommendations, and measuring the success of those initiatives.
Excellent programming skills in SQL, Python or R.
About the job
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
Responsibilities
Lead and grow a team of Data Scientists that cover problem definition, metrics development, data extraction and manipulation, visualization, creation, implementation of statistical models, and presenting to stakeholders.
Build an understanding of the data sets used by Customer Engagement Support and its partner teams.
Review analysis and business cases conducted by others to provide feedback, address challenges, and conduct problem-solving, including analysis and business cases.
Collaborate with Engineering teams to identify and address instrumentation gaps, ensuring accurate data collection for key functionalities.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
